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- Tasks: Design and optimise hardware architecture for AI acceleration platforms.
- Company: Cutting-edge deep-tech startup with a focus on innovation.
- Benefits: Full-time role with relocation support to Italy.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Master's or PhD in relevant field, strong Python skills, neural networks knowledge.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A cutting-edge deep-tech startup seeks a Senior R&D Engineer specializing in system architecture for their AI acceleration platforms. This role involves designing and optimizing hardware architecture, focusing on memory management and networking technologies, while collaborating with cross-functional teams.
The ideal candidate will have a Master's or PhD in a relevant field, strong Python skills, and familiarity with neural networks. This position is full-time and supports relocation to Italy.
Senior AI Accelerator System Architect — Memory & Networks in London employer: Axelera AI
Contact Detail:
Axelera AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Accelerator System Architect — Memory & Networks in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and tech space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to system architecture, memory management, and networking technologies. This is your chance to demonstrate your expertise beyond just a CV—make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for those interviews! Research common questions for Senior R&D Engineer roles and practice your responses. Be ready to discuss your experience with Python and neural networks, and think of examples that highlight your problem-solving skills in real-world scenarios.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like the Senior AI Accelerator System Architect. Keep an eye on our listings and don’t hesitate to hit that apply button when you see a match!
We think you need these skills to ace Senior AI Accelerator System Architect — Memory & Networks in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in system architecture and AI acceleration. We want to see how your skills in memory management and networking technologies align with what we're looking for!
Showcase Your Projects: Include any relevant projects or research you've done, especially those involving Python and neural networks. This is your chance to show us what you can bring to the table!
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your background makes you a perfect fit. Be genuine and let your personality shine through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Axelera AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies related to AI acceleration platforms. Brush up on your knowledge of memory management and networking technologies, as these will likely be key discussion points during the interview.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise. You might be asked to solve a problem or discuss how you've used Python in past projects, especially in relation to neural networks. Have examples ready that highlight your coding skills and problem-solving abilities.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to discuss your experience in collaboration. Share specific examples of how you’ve successfully worked with others to achieve project goals, and emphasise your communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision for their AI acceleration platforms and how they see the role evolving. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
